GPU cloud computing platforms - AI tools

Massed Compute provides cloud computing infrastructure, specializing in on-demand GPU and CPU power for AI, machine learning, VFX rendering, and high-performance computing tasks.

• Usage Based

QSC Cloud provides on-demand NVIDIA GPU Cloud Clusters for AI, deep learning, and high-performance computing. Access top-tier GPUs like NVIDIA H100, H200, and AMD MI300 through global partnerships.

• Usage Based

DataCrunch offers premium GPU servers, clusters, and model inference services on its AI cloud platform, powered by NVIDIA GPUs and utilizing 100% renewable energy.

• Usage Based

VeroCloud offers a cost-effective and scalable cloud platform specifically designed for developing, deploying, and scaling AI and HPC applications. Leverage powerful GPU instances and serverless options for optimal performance and cost savings.

• Usage Based
• From 475$

Comfy.ICU offers a cloud platform to run, share, and deploy ComfyUI workflows without downloads or setups. Utilize powerful GPUs and pay only for active usage.

• Freemium
• From 10$

Backprop offers a GPU cloud platform tailored for AI tasks like prototyping, training, and hosting, featuring powerful instances and pay-as-you-go pricing.

• Usage Based

Foundry Cloud Platform offers on-demand access to NVIDIA GPUs for machine learning tasks, with flexible pricing and no long-term commitments.

• Usage Based

WoolyAI offers a virtual GPU cloud service for scalable GPU memory and processing, featuring usage-based billing instead of time-based billing. It enhances GPU efficiency and reduces costs for AI/ML workloads.

• Usage Based

Clust.ai offers on-demand GPU cloud rental services, providing high-performance computing at minimal cost. It simplifies GPU access with a user-friendly interface and flexible security options.

• Usage Based

Thunder Compute is a cloud GPU platform that provides network-attached GPU virtualization, allowing developers to efficiently run AI and ML models without paying for idle resources.

• Usage Based

TensorDock provides cost-effective GPU and CPU cloud infrastructure for deep learning, AI, rendering, and scientific computing. It offers a wide range of GPUs and CPUs at up to 80% lower cost than other cloud providers.

• Usage Based

Akash Network is an open network that allows users to buy and sell computing resources securely and efficiently. It provides access to GPUs, including NVIDIA, at industry-leading pricing.

• Usage Based

GreenNode provides comprehensive AI-ready infrastructure and applications built on NVIDIA GPU technology, offering customizable GPU instances with a focus on high performance and cost efficiency.

• Usage Based

Vast.ai is a global GPU marketplace offering up to 6X cost savings on GPU compute through a unified interface, connecting users to providers ranging from hobbyists to Tier 4 data centers.

• Usage Based

Dataoorts offers a specialized GPU cloud platform designed for AI developers. It provides fast, secure, and affordable instances optimized for AI, ML, and DL tasks.

• Usage Based

SaladCloud is the world's largest distributed cloud network, offering up to 90% savings on compute costs for AI/ML production models compared to traditional cloud providers.

• Usage Based

Nebius offers a comprehensive cloud platform optimized for building, training, and running AI models and applications on NVIDIA® GPUs. It provides the resources and infrastructure for every stage of the AI journey.

• Paid

Novita AI is a comprehensive AI cloud platform offering model APIs, serverless solutions, and GPU instances for building and scaling AI applications with cost-effective, integrated solutions.

• Usage Based

CoreWeave offers specialized cloud infrastructure designed for AI workloads. It provides high-performance GPU and CPU compute, storage, and networking solutions for AI model training, inference, and other demanding applications.

• Usage Based

Lambda provides on-demand NVIDIA GPU instances and clusters for AI training and inference. It offers a range of services, including 1-Click Clusters, on-demand instances, and private clouds, designed for AI developers.

• Usage Based

ToyStack is a cloud platform designed for modern apps, offering an auto-scaling Kubernetes environment with integrated security, logging, and CI/CD. It simplifies cloud deployment and management, enabling developers to focus on coding.

• Usage Based
• From 5$

RunPod offers a globally distributed GPU cloud service designed specifically for developing, training, and scaling AI applications seamlessly and cost-effectively.

• Usage Based
• API

DataMacaw Scarlet Platform is an AI platform for effortlessly training and fine-tuning generative AI models on cloud GPUs, reducing costs significantly.

• Contact for Pricing

Cirrascale AI Innovation Cloud offers comprehensive cloud infrastructure for AI workloads, providing access to multiple leading AI accelerators including NVIDIA, AMD, and Cerebras systems with no data transfer fees and high-performance computing capabilities.

• Paid
• From 259$

Float16.cloud provides managed GPU infrastructure and LLM solutions for AI workloads. It offers services like serverless GPU computing and one-click LLM deployment, optimizing cost and performance.

• Usage Based

Juice enables GPU-over-IP, allowing GPUs to become remote virtual resources that are pooled, shared, and accessible by AI and graphics workloads.

• Contact for Pricing

Levytation is a global marketplace connecting users with affordable, scalable AI/ML/data teams and on-demand compute resources. It also allows GPU owners to rent out their idle GPUs for income.

• Contact for Pricing